Methodological Considerations for Quantile Aggregation in Alzheimer Disease Trials

This study evaluates the quantile-aggregation method using both simulated data and publicly available Alzheimer disease randomized trial data.

Authors

Institutions

Publication Details

Journal
JAMA Neurology
Published
2026-05-18
DOI
https://doi.org/10.1001/jamaneurol.2026.1240
Primary Topic
Statistical Methods and Bayesian Inference
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Methodological Considerations for Quantile Aggregation in Alzheimer Disease Trials

L Schneider, Renaud La Joie, Sarah F. Ackley, Michael D. Flanders et al.
JAMA Neurology
Statistical Methods and Bayesian Inference
article

Methodological Considerations for Quantile Aggregation in Alzheimer Disease Trials

L Schneider, Renaud La Joie, Sarah F. Ackley, Michael D. Flanders, Michelle Caunca
article en

Abstract

This study evaluates the quantile-aggregation method using both simulated data and publicly available Alzheimer disease randomized trial data.

JAMA Neurology
University of Southern California (US), University of California, San Francisco (US), Brown University (US), University Memory and Aging Center (US)
Openalex Percentile: Top 4%
Statistical Methods and Bayesian Inference
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.